code: def playback_callbacks(
      handlers: list[BaseCallbackHandler],
      records_or_filename: list[CallbackRecord] | str,
      max_pause_time: float = math.inf,
  ) -> str:
      """Playback a recorded list of callbacks using the given LangChain
      CallbackHandlers. This is useful for offline testing of LangChain
      callback handling logic.
  
      Parameters
      ----------
      handlers
          A list of LangChain CallbackHandlers to playback the callbacks on.
      records_or_filename
          A list of CallbackRecords, or a string path to a pickled record list
      max_pause_time
          The maxmimum number of seconds to pause between callbacks. By default
          `playback_callbacks` sleeps between each callback for the same amount
          of time as the callback's recorded delay. You can use `max_pause_time`
          to speed up the simulation. Set `max_pause_time` to 0 to issue all
          callbacks "instantly", with no delay in between.
  
      Returns
      -------
      The Agent's recorded result string.
  
      """
      if isinstance(records_or_filename, list):
          records = records_or_filename
      else:
          records = load_records_from_file(records_or_filename)
  
      for record in records:
          pause_time = min(record["time_delta"], max_pause_time)
          if pause_time > 0:
              time.sleep(pause_time)
  
          for handler in handlers:
              if record["callback_type"] == CallbackType.ON_LLM_START:
                  handler.on_llm_start(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"]
                  == CallbackType.ON_LLM_NEW_TOKEN
              ):
                  handler.on_llm_new_token(
                      *record["args"], **record["kwargs"]
                  )
              elif record["callback_type"] == CallbackType.ON_LLM_END:
                  handler.on_llm_end(
                      *record["args"], **record["kwargs"]
                  )
              elif record["callback_type"] == CallbackType.ON_LLM_ERROR:
                  handler.on_llm_error(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"] == CallbackType.ON_TOOL_START
              ):
                  handler.on_tool_start(
                      *record["args"], **record["kwargs"]
                  )
              elif record["callback_type"] == CallbackType.ON_TOOL_END:
                  handler.on_tool_end(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"] == CallbackType.ON_TOOL_ERROR
              ):
                  handler.on_tool_error(
                      *record["args"], **record["kwargs"]
                  )
              elif record["callback_type"] == CallbackType.ON_TEXT:
                  handler.on_text(*record["args"], **record["kwargs"])
              elif (
                  record["callback_type"] == CallbackType.ON_CHAIN_START
              ):
                  handler.on_chain_start(
                      *record["args"], **record["kwargs"]
                  )
              elif record["callback_type"] == CallbackType.ON_CHAIN_END:
                  handler.on_chain_end(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"] == CallbackType.ON_CHAIN_ERROR
              ):
                  handler.on_chain_error(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"]
                  == CallbackType.ON_AGENT_ACTION
              ):
                  handler.on_agent_action(
                      *record["args"], **record["kwargs"]
                  )
              elif (
                  record["callback_type"]
                  == CallbackType.ON_AGENT_FINISH
              ):
                  handler.on_agent_finish(
                      *record["args"], **record["kwargs"]
                  )
  
      # Return the agent's result
      for record in records:
          if record["callback_type"] == CallbackType.ON_AGENT_FINISH:
              return str(record["args"][0][0]["output"])
  
      return "[Missing Agent Result]"
  
imports: from __future__ import annotations
  import math
  import pickle
  import time
  from typing import Any, TypedDict
  from langchain.callbacks.base import BaseCallbackHandler
label_desc: Use image node_id 2 for calling a global function with example usage: playback_callbacks(handlers, records_or_filename, max_pause_time) and returns: str, str